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A mathematical methodology to achieve an economical and energetic optimal quality control within the production

Title data

Schötz, Sebastian ; Butzer, Steffen ; Steinhilper, Rolf:
A mathematical methodology to achieve an economical and energetic optimal quality control within the production.
2015
Event: International Working Conference "Total Quality Management - Advanced and Intelligent Approaches" , 1.-5. Juni 2015 , Belgrade.
(Conference item: Conference , Other Presentation type)

Abstract in another language

In order to avoid that faulty units reach downstream production stages and cause a significant amount of costs and energy consumption, quality control steps need to be realised within the production. Though, quality control steps cause economical as well as energetic effort. As part of the inspection planning, production planners have to decide about the implementation of quality control steps in terms of economical as well as energetic criteria. This decision causes a high effort. Moreover, it is not always possible to achieve an economical as well as energetic optimal solution concerning whether or not a quality control step should be implemented within the production. In order to deal with this issue, a mathematical based methodology to achieve an economical and energetic optimal quality control within the production was developed. This paper describes the development of the methodology and explains the procedure of the methodology. Finally, the methodology is verified and several benefits are pointed out.

Further data

Item Type: Conference item (Other)
Refereed: Yes
Keywords: Qualitätsprüfung; Qualitätsmanagement-Methode; Qualitätsmanagement; Ressourceneffizienz; nachhaltige Produktion
Institutions of the University: Faculties > Faculty of Engineering Science > Ehemalige Professoren > Chair Manufacturing and Remanufacturing Technology - Univ.-Prof. Dr.-Ing. Rolf Steinhilper
Faculties
Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Manufacturing and Remanufacturing Technology
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 07 Mar 2017 10:11
Last Modified: 07 Mar 2017 10:11
URI: https://eref.uni-bayreuth.de/id/eprint/36372